Job Description
Position: Cloud Data Engineer Trainer
Employment Type: Full-Time
Location: Remote
Experience: 5+ years
Joining: Immediate
Salary: Based on experience + incentives
About TagSkills
TagSkills is a leading upskilling platform focused on bridging the gap between education and employment in high-demand domains like Data Science, Cloud Engineering, and SAP. We're building job-ready professionals through real-world training, mentorship, and placement support.
Key Responsibilities
Conduct live sessions on Cloud Data Engineering concepts and tools
Train learners on AWS (Glue, Redshift, Lambda), Azure (ADF, Synapse), GCP (BigQuery, Dataflow)
Deliver advanced modules on Databricks, PySpark, Delta Lake, Airflow, and Spark
Design and review projects, assessments, and real-time case studies
Mentor learners via doubt resolution, mock interviews, and resume building
Collaborate with the content and placement teams to ensure learner success
Requirements
Minimum 5 years of hands-on experience in cloud data engineering
Proficiency in one or more cloud platforms: AWS, Azure, GCP
Strong experience with Databricks, Spark, Airflow, Python, SQL, PySpark
Understanding of CI/CD, containerization (Docker), and Git workflows
Prior experience in technical training or mentoring is highly desirable
Excellent English communication and presentation skills
Perks & Benefits
100% remote work
Flexible schedule with focus on outcomes
Fast growth in a dynamic edtech environment
Monthly performance bonuses
Opportunity to become a thought leader through events, webinars, and podcasts
